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Snowflake Refresh Dynamic Table

snowflake_refresh_dynamic_table
Idempotent

Trigger an immediate manual refresh of a dynamic table to update its data without waiting for the next scheduled refresh.

Instructions

Trigger an immediate manual refresh of a dynamic table.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNo
table_nameYes
schema_nameNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changedv1.2.0
    • addedInput schema / additionalProperties
      Added value: +false
    • removedInput schema / properties / database / title
      Removed value: -"Database"
    • removedInput schema / properties / schema_name / title
      Removed value: -"Schema Name"
    • removedInput schema / properties / table_name / title
      Removed value: -"Table Name"
    • removedInput schema / title
      Removed value: -"snowflake_refresh_dynamic_tableArguments"
    • removedOutput schema / title
      Removed value: -"snowflake_refresh_dynamic_tableDictOutput"
  2. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=false, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds the nuance that the refresh is 'immediate' and 'manual' rather than automatic, but omits other behavioral details like whether it can fail if a refresh is in progress or what permissions are required.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with no wasted words, which is efficient. However, given the tool's complexity and lack of schema descriptions, it is arguably too terse to be considered appropriately sized for the definition's full burdens.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be described. But the description fails to compensate for 0% schema description coverage across three parameters and provides no context about side effects, prerequisites, or operational constraints, leaving the agent under-informed for a mutation tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, and the description does not mention any of the three parameters (database, table_name, schema_name). It provides no meaning for how to specify the target table or what the optional database/schema_name defaults do.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific verb ('trigger an immediate manual refresh') and resource ('dynamic table'), making the core action clear. It does not explicitly distinguish this from siblings like suspend/resume_dynamic_table, but the action is distinct enough to be understood without opening the schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description only states what the tool does, not when to use it versus alternatives such as waiting for scheduled refreshes or using other dynamic table operations. There is no mention of prerequisites, conditions, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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